Start migration off defaults to conda-forge channel

.github/actions/build_cmake/action.yml

@@ -23,12 +23,19 @@ runs:
       uses: conda-incubator/setup-miniconda@v3
       with:
         python-version: '3.11'
-        miniconda-version: latest
+        miniforge-version: latest # ensures conda-forge channel is used.
+        channels: conda-forge
+        conda-remove-defaults: 'true'
+        # Set to aarch64 if we're on arm64 because there's no miniforge ARM64 package, just aarch64.
+        # They are the same thing, just named differently.
+        architecture: ${{ runner.arch  == 'ARM64' && 'aarch64' || runner.arch }}
     - name: Configure build environment
       shell: bash
       run: |
         # initialize Conda
         conda config --set solver libmamba
+        # Ensure starting packages are from conda-forge.
+        conda list --show-channel-urls
         conda update -y -q conda
         echo "$CONDA/bin" >> $GITHUB_PATH
 
@@ -43,7 +50,7 @@ runs:
         if [ "${{ runner.arch }}" = "X64" ]; then
           # TODO: merge this with ARM64
           conda install -y -q -c conda-forge gxx_linux-64=14.2 sysroot_linux-64=2.17
-          conda install -y -q mkl=2023 mkl-devel=2023
+          conda install -y -q mkl=2022.2.1 mkl-devel=2022.2.1
         fi
 
         # no CUDA needed for ROCm so skip this
@@ -56,14 +63,17 @@ runs:
         elif [ "${{ inputs.cuvs }}" = "ON" ]; then
           conda install -y -q libcuvs=24.12 'cuda-version>=12.0,<=12.5' cuda-toolkit=12.4.1 gxx_linux-64=12.4 -c rapidsai -c conda-forge
         fi
+
         # install test packages
         if [ "${{ inputs.rocm }}" = "ON" ]; then
           : # skip torch install via conda, we need to install via pip to get
             #  ROCm-enabled version until it's supported in conda by PyTorch
         elif [ "${{ inputs.gpu }}" = "ON" ]; then
           conda install -y -q "pytorch<2.5" pytorch-cuda=12.4 -c pytorch -c "nvidia/label/cuda-12.4.0"
+          # conda install -y -q "pytorch=2.5.1=py3.11_cuda12.4_cudnn9.1.0_0" pytorch-cuda=12.4 -c pytorch -c "nvidia/label/cuda-12.4.1"
         else
           conda install -y -q "pytorch<2.5" -c pytorch
+          # conda install -y -q "pytorch=2.5.1=py3.11_cuda12.4_cudnn9.1.0_0" -c pytorch
         fi
     - name: ROCm - Install dependencies
       if: inputs.rocm == 'ON'
@@ -174,3 +184,8 @@ runs:
       with:
         name: test-results-arch=${{ runner.arch }}-opt=${{ inputs.opt_level }}-gpu=${{ inputs.gpu }}-cuvs=${{ inputs.cuvs }}-rocm=${{ inputs.rocm }}
         path: test-results
+    - name: Check installed packages channel
+      shell: bash
+      run: |
+        # Shows that all installed packages are from conda-forge.
+        conda list --show-channel-urls

.github/actions/build_conda/action.yml

@@ -26,20 +26,25 @@ runs:
         else
           echo "shell=pwsh" >> "$GITHUB_OUTPUT"
         fi
+        echo "${{ runner.arch }}"
     - name: Setup miniconda
       uses: conda-incubator/setup-miniconda@v3
       with:
         python-version: '3.11'
-        miniconda-version:  latest
+        miniforge-version: latest # ensures conda-forge channel is used.
+        channels: conda-forge
+        conda-remove-defaults: 'true'
+        # Set to aarch64 if we're on arm64 because there's no miniforge ARM64 package, just aarch64.
+        # They are the same thing, just named differently.
+        architecture: ${{ runner.arch  == 'ARM64' && 'aarch64' || runner.arch }}
     - name: Install conda build tools
       shell: ${{ steps.choose_shell.outputs.shell }}
       run: |
+        # Ensure starting packages are from conda-forge.
+        conda list --show-channel-urls
+
         conda install -y -q "conda!=24.11.0"
         conda install -y -q "conda-build!=24.11.0"
-    - name: Fix CI failure
-      shell: ${{ steps.choose_shell.outputs.shell }}
-      if: runner.os != 'Windows'
-      run: conda remove conda-anaconda-telemetry
     - name: Enable anaconda uploads
       if: inputs.label != ''
       shell: ${{ steps.choose_shell.outputs.shell }}
@@ -94,3 +99,8 @@ runs:
       run: |
         conda build faiss-gpu-cuvs --variants '{ "cudatoolkit": "${{ inputs.cuda }}" }' \
             --user pytorch --label ${{ inputs.label }} -c pytorch -c rapidsai -c rapidsai-nightly -c conda-forge -c nvidia
+    - name: Check installed packages channel
+      shell: bash
+      run: |
+        # Shows that all installed packages are from conda-forge.
+        conda list --show-channel-urls

conda/faiss/meta.yaml

@@ -38,15 +38,15 @@ outputs:
       build:
         - {{ compiler('cxx') }}
         - sysroot_linux-64 =2.17 # [linux64]
-        - llvm-openmp  # [osx]
+        - llvm-openmp  # [osx or linux64]
         - cmake >=3.24.0
         - make =4.2 # [not win]
-        - mkl-devel =2023  # [x86_64]
+        - mkl-devel =2022.2.1  # [x86_64]
       host:
-        - mkl =2023  # [x86_64]
+        - mkl =2022.2.1  # [x86_64]
         - openblas =0.3 # [not x86_64]
       run:
-        - mkl =2023  # [x86_64]
+        - mkl =2022.2.1  # [x86_64]
         - openblas =0.3 # [not x86_64]
     test:
       requires:

tests/CMakeLists.txt

@@ -19,7 +19,6 @@ set(FAISS_TEST_SRC
   test_sliding_ivf.cpp
   test_threaded_index.cpp
   test_transfer_invlists.cpp
-  test_mem_leak.cpp
   test_cppcontrib_sa_decode.cpp
   test_cppcontrib_uintreader.cpp
   test_simdlib.cpp